Artificial Intelligence & Generative AI

Why organisations work with Ghislaine Boddington She coined the Internet of Bodies, a named research concept now cited in academic and policy work on biometric data and human enhancement. Few speakers in this space own a defined intellectual territory of their own. Three decades of hands-on practice in body-responsive technology, telepresence, motion capture and immersive design. She speaks from inside the discipline, not from a desk review of it. A long-running co-presenter slot on BBC Digital Planet (BBC World Service) gives her a working week of structured exposure to global technology stories and the ethics around them. Sits inside formal advisory infrastructure: UK Government College of Experts via DCMS, advisory board of the Springer journal AI & Society, Fellow of the Royal Society of Arts. Brings the inclusion dimension to technology conversations without losing the technical thread. Founder of Women Shift Digital, trustee at Stemettes Futures, former lead mentor on Deutsche Bank’s Women Entrepreneurs in Social Tech accelerator. Biography highlights Reader in Digital Immersion, University of Greenwich, School of Design and Creative Industries. Co-founder and Creative Director, body>data>space, an internationally exhibited interactive design collective. Co-presenter, BBC Digital Planet, BBC World Service. Author of “The Internet of Bodies, alive, connected and collective” in AI & Society (Springer, 2021). Adviser, UK Government College of Experts (DCMS); Fellow of the Royal Society of Arts. Recipient of the IX Immersion Experience Visionary Pioneer Award (2017), Society for Arts and Technology, Montreal. Biography Biometric data, immersive interfaces and human enhancement are moving from research labs into mainstream products, and most leadership teams are catching up in real time. Boddington has spent thirty years working inside that shift, first as a practitioner in body-responsive design, then as a research voice on what it means for identity, intimacy and consent. Her concept, the Internet of Bodies, sets out how physical and digital selves are merging through telepresence, biometric sensing, wearables and AI-enabled enhancement. The work appears as a peer-reviewed paper in the Springer journal AI & Society and runs through her keynote programme. The argument is not speculative. It is built from three decades of practice at body>data>space, the design collective she co-founded and still directs. The institutional footprint sits alongside the practice. Reader in Digital Immersion at the University of Greenwich, Fellow of the Royal Society of Arts, adviser to the UK Government’s College of Experts through DCMS, advisory board member at AI & Society. On BBC World Service she co-presents Digital Planet, which keeps her working through global technology stories week by week. Inclusion runs through the work as a technical condition, not a tone. She founded Women Shift Digital, mentors with Stemettes Futures and led Deutsche Bank’s Women Entrepreneurs in Social Tech accelerator. Her case is that immersive and biometric systems built without diverse human input encode the bias from the day they ship. Key speaking topics The Internet of Bodies Biometric data and digital identity Immersive technology and virtual presence Human enhancement and the body as interface AI ethics and embodied technology Inclusion and diversity in emerging tech Future human studies Ideal for Boards and executive teams setting policy on biometric data, AI ethics and immersive customer experience. Technology, product and R&D leaders building wearable, sensor-based or immersive products. Innovation, foresight and strategy functions inside regulated industries (financial services, healthcare, telecoms, media). Conferences and corporate events on the future of work, future human and responsible technology. Audience outcomes A working definition of the Internet of Bodies and what it means for organisations handling biometric, behavioural or sensor data. A sharper view of the ethical and consent issues that sit underneath immersive, wearable and AI-enabled products. A picture of where body-responsive technology is heading over the next five to ten years and which sectors are moving first. A specific argument for why inclusive design is a technical requirement in immersive and biometric systems, not a values statement.

Why organisations work with Paul Redmond He brings a five-generation diagnostic, not a Millennials-versus-Boomers cliche, that gives HR and commercial leaders a working language for friction they can already feel. His employability research, built across senior roles at the University of Liverpool, lets him speak credibly to graduate-recruitment, early-careers, and talent-pipeline audiences other generational speakers cannot. His Zombie Jobs thesis, anchored in his 2019 TED Talk and 2024 Trotman book on the AI age, gives leadership audiences a sharp, named frame for which roles AI hollows out and which it does not. He moves comfortably between commercial keynotes and broadcast work, including BBC and ITV current affairs, which translates into a polished platform presence for high-stakes events. Biography highlights Director of Student Experience and Enhancement, University of Liverpool, with continuing lecturing responsibilities. Fellow of the Royal Society of Arts (2010), awarded for writing and research. Author of The Graduate Jobs Formula, Talking about my Generation, A Parent’s Guide to Graduate Jobs, and The Graduate’s Guide to Future-Proofing Your Career (Trotman, 2024). TED speaker: Zombie Careers: Will You Lose Your Job to AI? (2019). Regular contributor to BBC and ITV current affairs; collaborator on the BBC and Tiger Aspect documentary Who Gets the Best Jobs? Speaks across financial services, technology, healthcare, and travel, with named clients including Google, Hargreaves Lansdown, Janus Henderson, Royal London, the NHS, and ABTA. Biography Five working generations now sit inside the same organisation. Each one learned to work under a different economy, a different communication norm, and a different settlement with the employer. The friction this produces shows up in engagement scores, retention numbers, and customer outcomes. Redmond’s work names that friction and gives leaders a way to act on it. His vantage is unusual. As Director of Student Experience and Enhancement at the University of Liverpool, he has spent years inside the machinery that produces the next generation of the workforce, and in continuous research conversation with the employers buying that talent. That has made his commentary on Gen Z and the post-Covid graduate market a regular fixture on BBC and ITV current affairs, and a reference point for HR and early-careers teams across UK plc. The future-of-work strand runs alongside it. His TED Talk Zombie Careers, published in 2019, set out the roles most exposed to AI and robotics, and the cognitive and human skills that survive automation. The Graduate’s Guide to Future-Proofing Your Career, published by Trotman in 2024, extends that argument into a working guide for the AI age. The thesis lands because it is grounded in named research, not in tech-keynote futurism. His books include The Graduate Jobs Formula, Talking about my Generation, A Parent’s Guide to Graduate Jobs, and Making it Happen. In 2010 he was awarded a Fellowship of the Royal Society of Arts for his writing and research. Key speaking topics The multigenerational workplace Gen Z and the post-Covid workforce The future of work and AI exposure Graduate recruitment and early-careers strategy Selling and marketing across generations Wellbeing and the staff-customer link Employability and career resilience Ideal for CHROs, heads of talent, and early-careers leads designing pipelines around Gen Z and a five-generation workforce. Commercial and marketing leaders building proposition and channel strategy across generational customer segments. Executive teams stress-testing which roles AI will hollow out and which human capabilities to invest in. Boards and leadership conferences in financial services, technology, healthcare, and professional services. Audience outcomes A working language for the five generations now in the workforce and the specific friction points each pair produces. A named view of which roles are most exposed to AI and robotics, and which capabilities buyers and employers should be investing in. Practical engagement and retention moves calibrated to Gen Z and post-Covid graduate expectations. A sharper read on how generational difference shows up on the customer side, in buying behaviour and channel preference.

Why organisations work with Daniel Bobroff He has invested retail’s money on retail’s behalf. As co-founder of ASOS Ventures he ran due diligence on the technologies retail boards are now being asked to buy, which is a different vantage point from the consultant or analyst. He built a category from scratch. Pioneering in-game advertising through Microtime gives him a working understanding of how a new commercial medium emerges, scales and is monetised, which transfers directly to current arguments about immersive commerce and gamified retail. He operates inside the engineering layer. His role at HTEC Group means his views on AI in retail are grounded in actual implementation work on customer experience, cloud and supply chain, not in keynote abstraction. He covers the full retail tech stack in one voice. Boards rarely find a speaker who can talk credibly about ad-tech, VR, visual search, ecommerce platforms and corporate venture in the same session, and link them to a single commercial argument. Biography highlights Founder, Coded Futures, retail and consumer technology advisory firm. Special Advisor, HTEC Group, advising on retail digitalisation, AI and customer experience. Co-founder and former Investment Director, ASOS Ventures, the venture capital arm of ASOS. Founder of Microtime, the first digital agency dedicated to in-game advertising, credited with starting a now multi-billion-dollar category. Founder of Deibus Studios, video games developer with combined platform sales reported above 50 million units across PlayStation, Xbox and Nintendo. Has delivered keynotes for Google, Facebook, Salesforce, Mastercard and the Retail Institute. Biography Retail has spent two decades arguing about whether technology is a channel, a function or a strategy. The argument is now closed by capital allocation. Personalisation engines, generative AI, gamified loyalty and immersive commerce are all sitting in the operating plan, often without a clear test for which of them pays back and which is a costly experiment in brand theatre. Daniel Bobroff has worked on both sides of that question. At ASOS he co-founded the company’s venture capital arm and was directly responsible for identifying and backing the technologies the retail sector is now being sold. Before that he founded Microtime, the first digital agency dedicated to in-game advertising, and Deibus Studios, an independent games developer whose titles for PlayStation, Xbox and Nintendo achieved combined platform sales above 50 million units. Today he runs Coded Futures, a retail and consumer technology advisory firm, and sits as Special Advisor to HTEC Group, the global engineering business, where he advises on AI, cloud and customer experience programmes. The combination matters: he sees retail technology from the investor’s underwriting position, the founder’s product position and the engineering partner’s delivery position. That is an unusual sightline for a speaker on this subject. His keynote work, including engagements for Google, Facebook, Salesforce, Mastercard and the Retail Institute, focuses on the same question a board is wrestling with after the third AI vendor presentation of the quarter: which of these bets is real, what does the customer experience actually look like once they land, and how does the commercial model hold up at scale. Key speaking topics AI in retail and consumer-facing operations Gamification of loyalty, engagement and commerce Immersive commerce, VR and the metaverse in retail Hyper-personalisation and predictive analytics Corporate venture capital and retail innovation pipelines Customer experience redesign in fashion and consumer brands Supply chain optimisation through AI and emerging technologies Ideal for Retail and consumer brand boards weighing major AI and digital investment decisions CMOs, Chief Digital Officers and Chief Customer Officers redesigning customer journeys around AI and personalisation Innovation, venture and corporate development teams inside large retailers and consumer goods groups Retail technology vendors and platform partners briefing their senior client audiences Audience outcomes A working sense of which retail AI use cases have shown commercial returns and which are still in the demonstration phase A sharper read on where gamification, immersive commerce and generative AI fit inside an existing retail operating model A vocabulary for discussing personalisation, loyalty and experience investments with credibility at board level A reference set of named retailers, technologies and venture-backed companies to anchor internal strategy debates

Why organisations work with Spencer Kelly Two decades inside the BBC’s flagship technology programme, Click, give him a working knowledge of frontier tech that very few keynote speakers can match, and a presenter’s instinct for what a general audience can absorb. He is one of the few speakers who is equally credible as a keynote on AI and emerging tech and as the host or moderator who runs the rest of the day, which reduces the number of people a conference organiser has to brief. A Cambridge Computer Science background, with an undergraduate dissertation on AI, means his explanations sit on actual technical understanding rather than on borrowed framing. He has interviewed the people audiences are most curious about, from Bill Gates and Steve Ballmer to James Cameron, Edward Snowden and Julian Assange, which gives his sessions named primary material instead of recycled commentary. BBC Radio 4’s Understand: Tech & AI and the technology segment on BBC Morning Live keep him in current weekly conversation with a non-specialist audience, which is the audience most leadership teams actually resemble. Biography highlights Presenter of BBC Click from January 2006 to its final episode in March 2025, the BBC’s longest-serving technology presenter. Host of BBC Radio 4’s Understand: Tech & AI, a 10-part series first broadcast in July 2023. Presents the technology segment on BBC Morning Live. Computer Science double first from Churchill College, Cambridge, with an undergraduate dissertation on artificial intelligence. Honorary Doctor of Technology, Coventry University. Named T3 Magazine Tech Personality of the Year in 2015. Biography BBC Click ran for 25 years on BBC World News and the BBC News Channel. Spencer Kelly presented it for nearly 19 of them, from January 2006 to its final episode in March 2025. That single fact carries more weight in a leadership audience than any speaker bio summary, because it means the person at the front of the room has been tracking, testing and explaining frontier technology to a global audience continuously across an entire technology cycle. The Cambridge Computer Science training matters here. His double first at Churchill College, with an undergraduate dissertation on artificial intelligence and genetic algorithms, is the reason his explanations of AI sit on actual technical foundations rather than on metaphors. He moves fluently between the engineering reality and the boardroom question, which is exactly what most senior audiences are trying to do when they sit down at a strategy day. Beyond Click, he hosts BBC Radio 4’s Understand: Tech & AI, the 10-part series launched in July 2023, and presents the technology segment on BBC Morning Live. He has interviewed Bill Gates, Steve Ballmer, James Cameron, Edward Snowden and Julian Assange. T3 Magazine named him Tech Personality of the Year in 2015. Coventry University awarded him an Honorary Doctor of Technology. For an event with leadership stakes, he is unusually flexible. He delivers the keynote on AI, automation and emerging technology when that is the brief, and he hosts, moderates or runs the awards when the day needs a presenter who can carry the room and stay on the subject. The same person does both jobs to BBC standard, which is rarer than most conference programmes assume. Key speaking topics Artificial intelligence in business Emerging technology and its commercial impact Automation and the future of work Quantum computing, blockchain and the metaverse Technology hosting, moderation and awards presenting Ideal for Boards and executive teams running an AI literacy or emerging tech briefing Conference organisers who need a single host across keynote, panel and awards CIO, CTO and digital transformation leaders running annual offsites Industry awards and sector summits that want a recognisable, technically credible host Audience outcomes A clearer picture of where AI and adjacent technologies are now, separated from the marketing layer. Specific named examples of how organisations are using emerging tech, drawn from his Click reporting. A working sense of which technologies sit in the next 18 months and which sit further out. The confidence to ask sharper questions of internal teams and external vendors.

Why organisations work with Bernardo Hernandez Operator credibility on both sides of the Atlantic: a senior Google product role through the Zagat acquisition, then running Flickr at Yahoo, then founding and selling Verse to Block. Few European speakers have lived that arc. Investor pattern recognition across a portfolio that includes Wallapop, Glovo, Fever, Paack, Citibox and Stripe. He talks about scaling consumer tech from inside the cap table, not from the outside. A working view of what AI is doing to product organisations through Pensero AI, his current company, which applies AI to engineering performance and management. Direct experience of the moves that matter to corporates: M&A integration at Google, platform repositioning at Yahoo and fintech exit to a US strategic acquirer. Biography highlights Co-founder of Idealista, Spain’s leading real estate platform. Director of Product Management at Google, 2005 to 2013; led the Zagat acquisition and team. Head of Flickr and Senior Vice President of Product at Yahoo, 2013 to 2015. Founder and CEO of Verse, the European payments app acquired by Block (Square) in 2020. Co-founder and Co-CEO of Pensero AI in New York. Board of Directors, Mapfre USA; trustee, Fundacion Princesa de Girona; jury member, Princess of Asturias Awards for Science and Technology. Recipient of Spain’s National Innovation and Design Award (2023, Ministry of Science). Biography Idealista was a small Madrid property site when Bernardo Hernandez co-founded it in 2000. Today it is the dominant real estate platform in southern Europe. That first venture set the template for a career spent building consumer internet businesses, then teaching incumbents how to think about the same problem. After five years as a portfolio manager at Fidelity, BBVA and Putnam, he joined Google in 2005 as Director of Product Management. He spent eight years inside the company, including leading the Zagat acquisition and integration. He then ran Flickr at Yahoo as Senior Vice President of Product before founding Verse, the European payments app that Block acquired in 2020. The operator track is matched by an investor track. He has backed Wallapop, Glovo, Fever, Paack, Citibox and Stripe, among others, and was an early investor in Tuenti before its sale to Telefonica. He sits on the board of Mapfre USA and is a trustee of the Fundacion Princesa de Girona under the Spanish Royal House. In 2023 he received Spain’s National Innovation and Design Award from the Ministry of Science. His current company, Pensero AI, applies AI to engineering management, giving him a live operating view of what generative AI is doing to product organisations rather than a theorist’s view. For corporate audiences this matters: he is currently building inside the technology shift he is invited to speak about. Key speaking topics Entrepreneurship and the scale-up playbook Digital business models and platform economics Consumer fintech and mobile payments AI in product and engineering organisations Corporate venturing, M&A and integration Innovation portfolios and angel investing Building between Europe and the United States Ideal for CEOs and board directors weighing build, buy or back decisions on new digital businesses. Chief Strategy, Chief Innovation and Corporate Development leaders running venture and M&A activity. Banks, insurers and retailers facing fintech and platform challengers. Leadership groups at European corporates with US ambitions, or US groups expanding into Europe. Audience outcomes A clearer sense of how founders make speed and capital decisions that corporate processes typically slow down. A working framework for evaluating new business models against existing P&L economics. Concrete reference points from Idealista, Google, Flickr, Verse and the current Pensero AI build. A sharper read on where AI is creating leverage inside product and engineering teams right now.

Why organisations work with Alberto Levy Operator credibility on emerging tech: he is the co-founder and CEO of Poly Crypto Rewards and innovation advisor to the Royal Commission for AlUla, so the perspective comes from current decisions, not commentary. Teaches innovation and entrepreneurship inside the IE University International MBA, which gives executives the frameworks his book Start Here codifies for first-time founders and intrapreneurs. Track record across roughly 1,500 projects with 300+ clients in more than 15 countries, including Fortune 500 work spanning automotive, FMCG, media and technology. Recognised on the platforms senior buyers track: World Economic Forum, Harvard Business Review Summit, MIT EmTech, Singularity University, TEDx. A distinctive human-centred voice in a category dominated by hype: his keynotes connect AI, Web3 and design to leadership behaviour and culture, not just technology roadmaps. Biography highlights Adjunct Professor on the International MBA at IE University, Madrid, since 2018, and faculty member on innovation, design thinking and digital leadership programmes at Porto Business School, EGADE / Tec de Monterrey, IPADE, and Financial Times Headspring. Co-founder and CEO of Poly Crypto Rewards, a crypto rewards platform. Innovation and Technology Advisor to the Royal Commission for AlUla, Saudi Arabia, and board advisor at the Founder Institute. Author of Start Here: A Practical Guide to Entrepreneurship for First-Time Founders. Featured speaker at the World Economic Forum, MIT EmTech, Harvard Business Review Summit, TEDx, Singularity University, and Oracle Leaders Circle. Master’s in Interactive Telecommunications, New York University; Bachelor’s in Computer Engineering, Pontifical Catholic University of Rio de Janeiro; Aspen Institute alumnus and Forbes Business Council member. Biography The technology cycle has compressed. AI, Web3 and design tools that organisations were piloting two years ago are now embedded in their products, their go-to-market, and the daily work of their teams. Most leadership teams are still trying to convert that into durable operating advantage rather than another wave of pilots. Alberto Levy works in that gap. He has spent more than two decades inside roughly 1,500 projects across 15+ countries, advising Fortune 500 organisations in automotive, media, FMCG and technology, and has carried that experience into the classroom as an Adjunct Professor on the IE University International MBA, where he teaches innovation, design thinking and digital leadership. His operating profile gives the work weight. He is co-founder and CEO of Poly Crypto Rewards, an Innovation and Technology Advisor to the Royal Commission for AlUla in Saudi Arabia, and a board advisor at the Founder Institute. His book, Start Here: A Practical Guide to Entrepreneurship for First-Time Founders, distils the same playbook he uses with executive teams: spotting real problems, building businesses around them, and stress-testing them against modern tools, AI and digital business models included. Levy is described as an Innovation Evangelist by the Harvard Business Review Summit and the World Economic Forum, and has spoken at MIT EmTech, TEDx, Singularity University and Oracle Leaders Circle. The thread through all of it is a refusal to treat technology as the answer on its own. His argument to senior leaders is that AI, Web3 and design only become advantage when matched to a clear human problem the organisation has decided to solve. Key speaking topics Innovation as an operating discipline AI and human intelligence in the enterprise Web3, blockchain and the future of digital business Digital transformation with a human-centred lens Entrepreneurship and intrapreneurship at scale Creative leadership and culture Customer experience and experiential storytelling Ideal for Board and executive teams setting an AI, Web3 or digital strategy that has to outlast the current technology cycle Chief Innovation Officers, CTOs and transformation leads moving from pilots to operating model Corporate venture, intrapreneurship and founder-track programmes inside large organisations CMOs and customer experience leaders rebuilding around emerging technology Audience outcomes A clearer view of where AI and Web3 produce real operating advantage and where they do not A working model for translating innovation strategy into product, team and culture decisions Practical entrepreneurship tools drawn from Start Here, applicable to both founders and intrapreneurs A sharper sense of how to keep customers and employees at the centre of a technology agenda Confidence to make decisions on emerging technology without waiting for the next hype cycle

Why organisations work with Greg Williams His forthcoming book Code, Capital, Power (2027) is the spine of his current work: how big technology companies have redefined markets, reshaped global order and bent society to their design. The keynote is the boardroom version of that argument. Sixteen years at WIRED, including close to a decade as Editor-in-Chief of the UK edition, gave him access most writers on this beat do not get. Satya Nadella, Demis Hassabis, Reid Hoffman, Albert Bourla, Prime Ministers Blair, May and Johnson have all sat across from him. That access feeds directly into how he frames emerging signals for boards. He is cofounder of The Venture Group, an AI-first business operating as a founder accelerator programme. That adds an operator’s vantage point to the journalist’s depth he built at WIRED. Four-time British Society of Magazine Editors Editor of the Year for Science and Technology, and Chair of Judges for The Orwell Prize for Journalism 2026. Both are independent external markers that his judgement on this beat is taken seriously by people who track it closely. He works equally well as keynote, interviewer and on-stage moderator, which matters when the programme needs him to hold a room with a head of state, a founder and a regulator on the same panel. McKinsey and BCG have used him to host private leadership formats for this reason. Biography highlights Former Editor-in-Chief of WIRED UK and Deputy Global Editorial Director, WIRED, after sixteen years at the title; cofounder of The Venture Group, an AI-first business operating as a founder accelerator programme. Author of the forthcoming Code, Capital, Power: How Big Tech Companies Redefined Markets, Reshaped Global Order and Are Transforming Society in Their Image (2027). Chair of Judges, The Orwell Prize for Journalism 2026. British Society of Magazine Editors Editor of the Year, Science and Technology, in 2017, 2018, 2020 and 2024. On-stage interviewer of Bill Gates, Satya Nadella, Demis Hassabis, Reid Hoffman, Albert Bourla and Prime Ministers Blair, May and Johnson. Speaking credits include the World Economic Forum in Davos, UN AI for Good, Cannes Lions, Web Summit, Vivatech, SXSW, DLD, Founders Forum and the World Governments Summit, plus private leadership formats for McKinsey and BCG. Biography The most consequential question for senior leadership over the next decade is no longer whether technology will reshape markets. It is who is doing the reshaping, who is benefiting, and what kind of operating environment that leaves for everyone else. The argument Greg Williams sets out in his forthcoming book Code, Capital, Power is that big technology companies have already redrawn the rules of markets, capital and global order, and that boards now have to lead inside that new geometry. That work draws on sixteen years at WIRED, where he ran the UK edition for close to a decade and held the role of Deputy Global Editorial Director, with editorial responsibility for teams from Mexico to Japan. He is also cofounder of The Venture Group, an AI-first business operating as a founder accelerator programme. Access compounds the credibility. Williams has interviewed Bill Gates, Satya Nadella, Demis Hassabis, Reid Hoffman, Albert Bourla and Prime Ministers Blair, May and Johnson, on stage and in print. He has shared programmes with the World Economic Forum in Davos, UN AI for Good, Cannes Lions, Web Summit, Vivatech, SXSW and the World Governments Summit, and has hosted private leadership formats for McKinsey and BCG. The British Society of Magazine Editors named him Editor of the Year for Science and Technology four times, in 2017, 2018, 2020 and 2024, and the Orwell Foundation appointed him Chair of Judges for its 2026 Prize for Journalism, on a panel with Nick Davies, Meenakshi Ravi and Sayeeda Warsi. For a leadership team, the booking works on two levels. As keynote, he translates AI, cybersecurity and the platform economics shaping global order into decisions a board can act on. As interviewer or moderator, he can hold a complicated panel, ask the sharper question, and keep the conversation honest when a founder, a regulator and a customer are on the same stage. Key speaking topics Artificial intelligence and its impact on business models Cybersecurity and digital risk at board level Technology and geopolitics Innovation and disruption Future of work and workforce transformation Strategic foresight and trend forecasting Leadership in a technology-driven economy Ideal for Boards and executive committees setting AI, data or cybersecurity strategy CEO and CIO offsites that need a credible outside read on the technology agenda Innovation, strategy and transformation leads briefing their organisation on what is coming Industry conferences that need a moderator who can interview founders, regulators and policymakers on the same stage Audience outcomes A sharper filter for separating real technology signal from hype A clearer view of the AI, cybersecurity and platform shifts that will hit their sector next A forward read on the technology economy shaped by his own argument that a small number of big tech companies are restructuring markets and the global order, not a vendor pitch Specific named companies, researchers and regulators to watch Better questions to put to their own technology and strategy teams on return

Why organisations work with Jack Shaw Nearly four decades of operator experience inside successive AI waves: from expert systems and knowledge-based AI through machine learning and predictive analytics to today’s generative AI and large language models. That continuity of pattern recognition is rare and directly useful when a board needs to separate durable shifts from noise. Author of The AI Imperative Series, a planned multi-volume set examining AI transformation industry by industry. The first volume, Manufacturing’s AI Imperative, was published in April 2026; subsequent volumes covering healthcare, finance, distribution, and government are in preparation. Track record advising senior leadership at Mercedes-Benz, Siemens, GE, Caterpillar, Rockwell Automation, Coca-Cola, 3M, IBM, Oracle, and Bosch. The client mix skews industrial and regulated, which is directly relevant when the audience is not a technology company. A working framework that separates tactical AI initiatives, which can pay back inside twelve months, from strategic programmes that reshape the operating model over three to five years. The framework is built for executive teams running both tracks simultaneously without one starving the other. Presents in 26 countries and all 50 U.S. states, with material that adapts to manufacturing, distribution, financial services, and public sector audiences rather than a single vertical. Biography highlights Author of The AI Imperative Series; first volume, Manufacturing’s AI Imperative, published April 2026 Graduate of Yale University; MBA, Kellogg School of Management, Northwestern University Nearly four decades of enterprise AI experience, from commercial expert systems through machine learning to generative AI Former Vice President of Commercial Systems, Applied Systems Intelligence; previously led an AI software company in Knowledge-Based Expert Systems Advisor to senior leadership at Mercedes-Benz, Siemens, GE, Caterpillar, Rockwell Automation, Coca-Cola, 3M, IBM, Oracle, and Bosch Keynote presentations in 26 countries and all 50 U.S. states, across manufacturing, distribution, financial services, and public sector audiences Biography Knowledge-Based Expert Systems were running in defence and industrial settings long before ChatGPT gave generative AI a consumer face. Jack Shaw was building commercial software in that space in the 2000s as Vice President of Commercial Systems at Applied Systems Intelligence, after leading an AI software company through the previous wave. He has been inside enterprise AI since before most organisations were asking the question. That operator background sits underneath the current work. As an AI transformation advisor, Shaw works with senior leadership at Mercedes-Benz, Siemens, GE, Caterpillar, IBM, and Bosch on where AI actually changes the economics of the business, and how to get there from wherever the organisation is now. The client mix is industrial and regulated. The material reflects that: less consumer futurism, more operating-model impact. Shaw is a graduate of Yale University with an MBA from the Kellogg School of Management, and the author of The AI Imperative Series. The first volume, Manufacturing’s AI Imperative, was published in April 2026; subsequent volumes covering distribution, government, and other industries are in preparation. The series applies the same structure across industries: a dual-path framework that separates the tactical AI initiatives that pay back inside twelve months from the strategic programmes that reshape the operating model over three to five years. The pattern across nearly four decades is consistent. Shaw translates the next technology wave into language a CFO or a board chair can act on, and does so with specific reference to what worked and what broke in the last three waves. That continuity is the reason senior teams keep booking him back when the technology label on the brief changes. Key speaking topics Artificial intelligence strategy for the enterprise Generative AI and large language models in business operations Enterprise AI: from pilot to operating-model change Digital transformation and AI adoption in industrial and regulated sectors Decision latency and learning velocity in enterprise AI Innovation and change management in regulated industries Ideal for Boards and C-suites setting enterprise AI and digital strategy CIOs, CTOs, and CDOs sequencing AI investment across competing priorities: infrastructure, workforce capability, data readiness, and vendor selection Manufacturing, automotive, distribution, and financial services leadership teams Industry associations and regulated-sector conferences asking where the technology actually lands in operations Audience outcomes A clearer read on which AI capabilities matter for their specific industry and time horizon Concrete examples from Fortune 500 deployments rather than generic case studies Vocabulary to challenge vendor pitches and internal proposals with sharper questions A dual-path framework for separating the AI initiatives that pay back inside twelve months from the strategic programmes that reshape the operating model over three to five years, with a method for running both tracks simultaneously without one starving the other

Why organisations work with Mark T. Hofmann He has conducted anonymous, scientific interviews with active hackers and uncaught criminals on the darknet, so the attacker psychology in his keynotes is field-sourced, not theorised from headlines. His doctoral research at the University of Tubingen on psychopathy, narcissism, and Machiavellianism in hackers gives security and risk leaders a behavioural model for who is targeting them and why. He translates profiling and interrogation methods, the same toolkit used in serious crime work, into practical reading-people skills for negotiation, fraud detection, and executive due diligence. He has been certified as a Crime and Intelligence Analyst by the California Department of Justice and is regularly briefed on by international media including CNN, CBS, Forbes, and 60 Minutes Australia, which gives a buyer confidence the substance survives outside a stage. He covers the dark side of AI, deepfakes, voice cloning, and AI-assisted social engineering, with material that has been pressure-tested against actual perpetrator behaviour rather than vendor marketing. Biography highlights Master of Arts in Industrial and Organizational Psychology, University of Wuppertal. Doctoral candidate at the University of Tubingen, researching dark personality traits among hackers. Certified Crime and Intelligence Analyst, California Department of Justice, 2019. TED speaker, “Profiling Hackers: The Psychology of Cybercrime”. Featured on CNN, CBS, ARD, RTL, Forbes, Business Insider, and 60 Minutes Australia. Lecturer in Behavioral and Cyber Psychology and consultant for Management Circle AG. Biography Most cyberattacks do not begin with code. They begin with a person, a moment of trust, and a message that looked legitimate. The attacker’s craft is psychological before it is technical, and that is the layer most security programmes underinvest in. Mark T. Hofmann works on that layer for a living. A business psychologist trained at the University of Wuppertal and a Certified Crime and Intelligence Analyst credentialed by the California Department of Justice, he conducts anonymous, scientific interviews with active hackers and uncaught criminals to understand motive, method, and the soft signals that make a target. His doctoral work at the University of Tubingen examines psychopathy, narcissism, and Machiavellianism among hackers, which gives his stage material a research backbone rather than a headline one. That fieldwork translates directly into the questions a CISO, a CEO, or a head of fraud is wrestling with. How do attackers select targets inside a finance team? What does a deepfake voice request actually exploit in the listener? Why do executives keep authorising wires they should have queried? Hofmann answers those questions with case material drawn from people who do this for a living and were willing to talk. His reach extends beyond security. He teaches profiling and interrogation methods as a practical skillset for negotiation, fraud interviewing, and high-stakes meetings, the same techniques applied to commercial situations. He has been featured on CNN, CBS, Forbes, ARD, RTL, Business Insider, and 60 Minutes Australia, and has delivered a TED talk on profiling hackers. The combination is unusual: a keynote speaker whose primary research subject is the person on the other side of the attack. Key speaking topics Cyber profiling and the psychology of cybercrime Social engineering and the human firewall The dark side of AI, deepfakes, and synthetic identity Profiling in negotiation and high-stakes meetings Reading people, body language, and behavioural signals White-collar crime, psychopathy, and narcissism in organisations Ideal for CISOs, heads of information security, and cyber risk leaders rebuilding the human layer of their defence. CFOs, heads of treasury, and fraud teams exposed to deepfake-driven payment and impersonation attacks. Boards and executive committees that need a non-technical briefing on AI-enabled threat actors. Negotiation, M&A, and procurement leaders who want a practical toolkit for reading counterparties. Audience outcomes A working mental model of who is attacking the organisation, what motivates them, and how they choose targets. Specific behavioural cues that distinguish a manipulative request from a legitimate one in email, voice, and video. A clear view of where deepfakes and AI-generated content are already changing fraud and impersonation risk. Practical profiling and questioning techniques that can be applied in negotiation and internal investigation. A sharper read on dark-personality traits inside leadership pipelines and counterparties.

Why organisations work with Alex Connock He runs the AI for Executives module on the Oxford Executive MBA and co-directs Oxford’s postgraduate course in Artificial Intelligence for Business, so the content has been pressure-tested with senior leaders before it reaches a corporate audience. He spent two decades running media businesses at scale, including thirteen years as co-founder and CEO of Ten Alps with Bob Geldof and five as Managing Director of Endemol Shine North, which means his framing of AI is grounded in production economics, not vendor narrative. His Routledge textbook on media business models in the AI age is a teaching reference at multiple business schools and has been translated into Korean and Turkish, giving him a coherent published argument rather than a deck of demos. He moves credibly between a board conversation about AI strategy and a creative team session on generative tools, which is rare in a topic dominated by either technologists or policy commentators. Biography highlights Senior Fellow, Saïd Business School, University of Oxford; co-director of Oxford’s postgraduate course in Artificial Intelligence for Business. Professor of Media and Artificial Intelligence, University of Exeter. Head of Department, Creative Business, National Film and Television School. Author of three Routledge titles, including “Media Management and Artificial Intelligence” (2022), “Media Management and Live Experience” (2024), and “Entrepreneurship in Media and Entertainment” (2025). Co-founder and former CEO of Ten Alps (now Zinc Media) with Bob Geldof; former Managing Director of Endemol Shine North. Education: PPE (Oxford), Journalism (Columbia), MBA (INSEAD), PhD in video optimisation for e-commerce. Biography Generative AI has reordered the cost base of every business that produces content, software, or marketing, and the question for leadership teams is no longer whether to engage but where the operating model actually changes. That question is harder to answer well than the public debate suggests. It needs someone who has run a production company through a previous wave of digital disruption, and who teaches the underlying technology to senior executives now. That is the position Alex Connock occupies. At Saïd Business School in Oxford he co-directs the postgraduate course in Artificial Intelligence for Business and runs the AI for Executives module on the Executive MBA. He holds a Professorship in Media and Artificial Intelligence at the University of Exeter and leads the Creative Business department at the National Film and Television School. Before the academic work he spent two decades as an operator. He co-founded Ten Alps with Bob Geldof in 1998 and ran it as chief executive for thirteen years, producing programming for UK and international broadcasters and the UK government’s Teachers TV. He then ran Endemol Shine North as Managing Director through a period of substantial growth. His three Routledge titles, including the 2022 textbook “Media Management and Artificial Intelligence” with Korean and Turkish translations, give the talks a published spine. The result is a speaker who can take a board conversation from generative AI as topic to specific decisions about content, channel, and capital, with a vocabulary that holds up in front of both the strategy team and the creative team. Key speaking topics Generative AI and the media business AI for executives and the corporate operating model AI applied to marketing and brand The economics of synthetic content and creator platforms AI, national strategy and creative industries policy Entrepreneurship and growth in media and entertainment Ideal for Boards and executive committees commissioning an AI strategy session that goes beyond capability demos. CMOs, CSOs, and content leaders in media, entertainment, publishing, advertising, and marketing. Executive education and senior leadership programmes inside large corporates. Industry conferences in media, technology, and creative industries seeking a credentialed academic voice with operator history. Audience outcomes A clear read on where generative AI changes the unit economics of content, marketing, and customer-facing operations. A structured view of the AI tooling landscape, anchored to specific business decisions rather than vendor categories. Reference points from media businesses already running AI in production, including platforms, broadcasters, and creator economies. A working vocabulary for the boardroom conversation on AI strategy that holds up with both technical and commercial colleagues.

Why organisations work with Sandra Wachter Her Counterfactual Explanations framework – co-developed at Oxford and adopted in production by Google, IBM, Microsoft, Accenture, and Vodafone – gives organisations a legally defensible method for explaining algorithmic decisions to the individuals they affect, not just to internal audit teams. Her Conditional Demographic Disparity (CDD) bias test demonstrated that 13 of 20 widely used bias detection tools fail EU non-discrimination standards. Amazon and IBM implemented CDD in their cloud services; it was deployed in 2024 to expose systemic bias in the Dutch national education system, resulting in a ministerial apology and formal reform. She works at the precise intersection of legal standards and technical metrics – meaning she can tell risk and compliance teams not only what accountability requires but how to measure whether systems actually deliver it. As a member of the European Parliament Working Group on AI Liability and the World Bank Task Force on Access to Justice and Technology, she tracks how regulatory frameworks are being written in real time, giving organisations visibility into requirements before they become mandatory. Her research has shifted institutional practice at the NHS and MHRA, which are revising medical device licensing standards using her findings on the unintended consequences of common group fairness measures – a concrete precedent for how her work moves from publication to policy. Biography highlights Professor of Technology and Regulation, Oxford Internet Institute, University of Oxford; Humboldt Professor of Technology and Regulation, Hasso Plattner Institute Leads the Governance of Emerging Technologies (GET) Research Programme at Oxford Co-developer of Counterfactual Explanations (now deployed by Google, IBM, Microsoft, Accenture, and Vodafone) and the Conditional Demographic Disparity (CDD) bias test (implemented by Amazon and IBM; applied in the Netherlands education reform, 2024) Published in Science Robotics, Nature Electronics, and Nature Reviews Physics; cited over 20,000 times (Google Scholar) Alexander von Humboldt Foundation Research Award (2025, €3.5M); O2RB Excellence in Impact Award (2018, 2021); Computer Weekly Women in UK Tech Award (2021); Privacy Law Scholar Award (2019); CognitionX AI Ethics Award (2017, 2023) Policy roles: European Parliament Working Group on AI Liability; World Bank Task Force on Access to Justice and Technology; WEF Global Futures Council on Values, Ethics and Innovation; UNESCO; UK Police Ethics Guidance Group Previously Visiting Professor, Harvard Law School; Research Fellow, The Alan Turing Institute Media profiles in the Financial Times, Wired, New York Times, BBC,Guardian, Harvard Business Review, Reuters, Time Magazine, and MIT Technology Review Biography Sandra Wachter is Professor of Technology and Regulation at the University of Oxford’s Oxford Internet Institute and Humboldt Professor at the Hasso Plattner Institute. She leads Oxford’s Governance of Emerging Technologies Research Programme – work that sits not in the space of ethical aspiration but in the harder territory of legal standards and technical verification. The tools her research has produced are in use at scale. The Counterfactual Explanations framework she co-developed is deployed in production by Google, IBM, Microsoft, Accenture, and Vodafone. Her Conditional Demographic Disparity (CDD) bias test – built after demonstrating that 13 of 20 commonly used bias tools fail EU non-discrimination law – was adopted by Amazon and IBM in their cloud services. In 2024, CDD was used to expose systemic bias in the Dutch national education system; the Dutch Minister of Education apologised and initiated formal reform. The NHS and MHRA have revised their medical device licensing practices using her findings on the consequences of widely applied group fairness measures. Her publications appear in Science Robotics, Nature Electronics, and Nature Reviews Physics, and she has been cited over 20,000 times. Awards include the Alexander von Humboldt Foundation Research Award (2025, €3.5M), the O2RB Excellence in Impact Award (2018, 2021), the Privacy Law Scholar Award (2019), and the CognitionX AI Ethics Award (2017, 2023). She sits on the European Parliament Working Group on AI Liability, the World Bank Task Force on Access to Justice and Technology, the WEF Global Futures Council on Values, Ethics and Innovation, and the UK Police Ethics Guidance Group, and was previously Visiting Professor at Harvard Law School. For boards and risk leaders, her most immediate value is diagnostic: the gap between what organisations say their AI governance achieves and what the regulatory and technical evidence supports is larger than most assume. She has spent a decade building the instruments to measure that gap precisely. Key speaking topics AI governance and regulation Algorithmic accountability and explainability Algorithmic bias and non-discrimination law Generative AI and legal liability The EU AI Act and regulatory compliance Profiling, inferential analytics, and data protection Platform regulation and internet governance Ideal for Boards and C-suite teams making AI adoption and governance commitments Chief Data Officers and technology leadership teams designing accountability frameworks Legal, compliance, and risk leaders responsible for AI deployment decisions Public sector and regulatory audiences shaping AI policy and standards Audience outcomes A clear-eyed assessment of where current AI governance practices fall short of EU and UK legal standards – and why common assumptions about bias testing are insufficient Practical grounding in legally defensible tools for explainability and bias measurement, including frameworks already adopted by major technology companies Informed foresight into how the EU AI Act and emerging AI liability frameworks will affect deployment requirements Understanding of how generative AI creates specific new liabilities around hallucination, misinformation, and the emerging legal question of AI truthfulness The ability to distinguish between stated accountability commitments and governance that can withstand external scrutiny

Why organisations work with Mariano Sigman A 2018 Nature Human Behaviour study he co-authored, run with 5,180 live participants, showed that aggregating small structured debates produces sharper answers than the wisdom of thousands; that finding rewrites how senior groups should be designed to decide. He directs the Decision-Making programme of the Human Brain Project, Europe’s flagship neuroscience consortium, and is the only Latin American scientist to hold a directorship in that initiative. His training in physics in Buenos Aires, neuroscience at Rockefeller, and postdoctoral work with Stanislas Dehaene at the College de France gives his claims a methodological grounding that separates them from motivational uses of the same science. “The Secret Life of the Mind”, published by HarperCollins, has been translated into more than a dozen languages and reviewed by Kirkus, Publishers Weekly, and Science Magazine; his ideas hold up outside the speaker circuit. His 2023 book “Artificial”, co-authored with Santiago Bilinkis, gives leadership audiences a calm, scientifically grounded read on what AI changes and does not change in human cognition. Biography highlights PhD in neuroscience from Rockefeller University; postdoctoral research with Stanislas Dehaene at the College de France. Director of the Decision-Making programme of the Human Brain Project; the only Latin American scientist to hold a directorship in that initiative. Associate Professor at Universidad Torcuato Di Tella; founder of the Integrative Neuroscience Laboratory at the University of Buenos Aires; Principal Researcher at CONICET. Pius XI Medal from the Pontifical Academy of Sciences (2016); James S. McDonnell Scholar Award; Human Frontier Science Program Career Development Award. Author of “The Secret Life of the Mind” (HarperCollins, 2017) and “El poder de las palabras” (2022); co-author of “Artificial” with Santiago Bilinkis (2023). TED main-stage speaker on collective intelligence with Dan Ariely. Biography Smart people in a room together do not reliably make smart decisions. Mariano Sigman has spent two decades building the experimental science that explains why, and what to change about it. His laboratory at Universidad Torcuato Di Tella draws on physics, neuroscience, linguistics, and cognitive science to study how individuals and groups actually form judgments under uncertainty. The clearest example is a 2018 paper in Nature Human Behaviour with Joaquin Navajas and colleagues. Working with 5,180 live participants, the team showed that aggregating the consensus of small structured debate groups was substantially more accurate than averaging the opinions of thousands of independent individuals. The architecture of a conversation, in other words, matters more than the number of voices inside it. Sigman trained as a physicist at the University of Buenos Aires, took a PhD in neuroscience at Rockefeller, and did postdoctoral research at the College de France with Stanislas Dehaene, one of the leading figures in cognitive science. He directs the Decision-Making programme of the Human Brain Project, the European flagship initiative, and is the only Latin American scientist to hold a directorship there. “The Secret Life of the Mind”, published by HarperCollins, became an international bestseller and brought his work on judgment, learning, and consciousness to readers in more than a dozen languages. His 2023 book “Artificial”, co-authored with Santiago Bilinkis, applies the same lens to the relationship between human cognition and AI. For boards and executive teams, that body of work answers a specific question. Senior decisions live or die on how a small group aggregates uncertain information. Sigman gives leaders a working account of where that process breaks, why it breaks, and which structural moves close the gap. Key speaking topics Collective intelligence and group decision-making Cognitive bias and judgment under uncertainty The neuroscience of learning and adult neuroplasticity Conversation, language, and belief formation Artificial intelligence and human cognition Consciousness and the science of the mind Creativity and the cognitive roots of innovation Ideal for Boards and executive committees rethinking how high-stakes decisions are deliberated and made CHROs and learning leaders designing capability and judgment programmes for senior talent Strategy, innovation, and transformation leaders working under deep uncertainty Technology and AI leadership teams reasoning about human-machine collaboration Audience outcomes A working account of why structured small-group debate outperforms both lone experts and large consensus meetings. A specific vocabulary for the cognitive distortions that quietly shape leadership judgment, including confidence bias and equality bias. A clearer read on how the adult brain learns and changes, and where common assumptions about learning capacity are wrong. A practical sense of how language and conversation shape belief, memory, and choice inside teams. A grounded view of what AI changes, and does not change, in the cognitive demands placed on senior leaders.